Evidence map›Paper›PMID 35967837›Full record

ArticleAnnals of operations research2022

Blockchain as the "trust-building machine" for supply chain management.

Kongmanas Yavaprabhas, Mehrdokht Pournader, Stefan Seuring

Abstract read
In one paragraph

Article in Annals of operations research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Kongmanas YavaprabhasDepartment of Management and Marketing, The University of Melbourne, Level 10, The Spot, 198 Berkeley Street, Melbourne, VIC 3010 Australia.ORCID 0000-0003-3405-5889
Mehrdokht PournaderDepartment of Management and Marketing, The University of Melbourne, Level 10, The Spot, 198 Berkeley Street, Melbourne, VIC 3010 Australia.ORCID 0000-0002-6935-4320
Stefan SeuringChair of Supply Chain Management, Faculty of Business and Economics, The University of Kassel, Kassel, Germany.ORCID 0000-0003-4204-9948

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper aims to investigate the impact of blockchain application on trust levels in supply chains. Through the systematic review of the relevant literature, three dimensions of trust, i.e., the trustor-trustee perspective, forms of trust, and time orientation, are investigated. Our findings show that, first, there are three pairs of trustors and trustees involved in blockchain implementation: (a) the user and the blockchain, (b) two supply chain partners, and (c) the consumer/public and a supply chain unit. Second, the two forms of trust, namely cognition-based and institution-based trust, are likely to be enhanced by blockchain execution, while affect-based trust may not be directly impacted by the technology. Third, the presence of blockchain technology would facilitate swift trust-building between unknown supply chain partners under specific circumstances. Moreover, we also find contradicting assertions among scholars on the implications of blockchain for trust in supply chains. While some studies pointed out that blockchain will enable a trustless trusted scheme, others expected the reinforcement of interorganizational trust. To test these assertions, we develop the blockchain-entrusted supply chain models to present the three-step process of how trust is developed through the blockchain and diffused to supply chain partners and external stakeholders. Supplementary Information: The online version contains supplementary material available at 10.1007/s10479-022-04868-0.

Indexed as

BlockchainSupply chainSystematic reviewTrust

Identifiers

PMID35967837
PMCPMC9362671

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.